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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
6-RES-JB
16262
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MODEL
6-res-jb
Source/SAE
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Explanations
quotes or phrases in quotation marks
oai_token-act-pair · gpt-3.5-turbo
No Scores
quotation marks and direct speech
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
Generate
Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 6-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
How To Load
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
Skylion007/openwebtext
Features
24,576
Data Type
torch.float32
Hook Point
blocks.6.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
6
Activation Function
relu
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/6-res-jb/16262?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/6-res-jb/16262?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
¾
-0.78
paren
-0.75
²¾
-0.71
¸
-0.71
Ļ½
-0.71
ĻĤ
-0.70
İĭ
-0.69
kell
-0.67
²
-0.66
´
-0.65
POSITIVE LOGITS
/"
0.92
["
0.74
justifies
0.72
âĹ¼
0.71
OTUS
0.68
âĢķ
0.65
âĢķ
0.65
referring
0.65
justify
0.63
([
0.62
Act
ivations
Density 0.106%
Test
Steer
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